Test consistency for single and batch seperately (#1590)
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@@ -43,16 +43,29 @@ class TestPyTorchSamplingBackend(unittest.TestCase):
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assert metrics["score"] >= 0.65
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def test_greedy(self):
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response_single = requests.post(
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self.base_url + "/generate",
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json={
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"text": "The capital of France is",
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"sampling_params": {
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"temperature": 0,
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"max_new_tokens": 32,
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first_text = None
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# ensure the answer is identical across single response
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for _ in range(5):
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response_single = requests.post(
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self.base_url + "/generate",
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json={
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"text": "The capital of France is",
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"sampling_params": {
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"temperature": 0,
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"max_new_tokens": 32,
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},
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},
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},
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).json()
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).json()
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text = response_single["text"]
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if first_text is None:
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first_text = text
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assert text == first_text, f'"{text}" is not identical to "{first_text}"'
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first_text = None
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response_batch = requests.post(
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self.base_url + "/generate",
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json={
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@@ -63,10 +76,13 @@ class TestPyTorchSamplingBackend(unittest.TestCase):
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},
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},
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).json()
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text = response_single["text"]
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print(text)
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# ensure the answer is identical among the batch
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for i in range(10):
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assert response_batch[i]["text"] == text
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text = response_batch[i]["text"]
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if first_text is None:
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first_text = text
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assert text == first_text, f'"{text}" is not identical to "{first_text}"'
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if __name__ == "__main__":
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